EAGE Workshop on 4D Seismic and Reservoir Monitoring

Date

18 - 20 November

Location

Abu Dhabi, United Arab Emirates

Registration

Closed

Call for papers

Closed

Optimizing recovery remains a critical task for any operator, irrespective of their location around the globe. Advances in sensors, compute power and artificial intelligence provide fertile ground for new areas of improvement. Realizing the potential of all these new powers requires an integrated effort, often beyond what can be done in the past or by a single operator or provider. Such advances require novel ideas and unconventional alliances to implement them. While other industries have greatly benefited from crowd sourcing and breaking barriers, the oil and gas industry has long way to go in this area, as well as in finding ways to efficiently coalesce together multiple elements of the existing ecosystem of large and small operators and vendors in the complex area of reservoir monitoring.

We invite practitioners, innovators and dealmakers to come to this workshop to share their achievements and challenges, lay out big innovative ideas and seek new alliances to break into unknown territory.

Most 4D achievements are associated with offshore scenarios and clastic reservoirs. By 2030, the IEA estimates that more than 60% of daily production will come from onshore fields, which are dominated by carbonate reservoirs. In addition, the role of unconventional reservoirs is growing in importance and yet the use of proven geophysical techniques remains very limited in these fields.

One thing we have learned over twenty years of 4D monitoring is that reservoirs are too complex to be described by the super-simple physics and models and we would like them to fit into. With the emerging power of artificial intelligence, we can try from other directions to conquer this territory of yet unknown physics and see if we can make new models work. In 2017 SPE released a book on Data-Driven Reservoir Modeling, describing “how to utilize machine-learning-based algorithmic protocols to reduce large quantities of difficult-to-understand data down to actionable, tractable quantities.” If engineers can make sense of their super-sparse spatial data to make actionable decisions, we, as the reservoir monitoring community, with often volumetrically continuous 4D data that are easier to understand, should be able to also achieve such an advance.
Bring your knowledge, ideas and passion and join us in this workshop to explore the current landscape of reservoir monitoring and spearhead new directions not discovered before!